A Text-Driven Aircraft Fault Diagnosis Model Based on a Word2vec and Priori-Knowledge Convolutional Neural Network

A Text-Driven Aircraft Fault Diagnosis Model Based on a Word2vec and Priori-Knowledge Convolutional Neural Network

In the process of aircraft maintenance and support, a large amount of fault description text data is recorded. However, most of the existing fault diagnosis models are based on structured data, which means they are not suitable for unstructured data such as text. Therefore, a text-driven aircraft fa...

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Bibliographic Details
Main Authors: Zhenzhong Xu, Bang Chen, Shenghan Zhou, Wenbing Chang, Xinpeng Ji, Chaofan Wei, Wenkui Hou
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Aerospace
Subjects:
text-driven
aircraft fault diagnosis
text feature extraction
convolutional neural network
priori knowledge
Online Access:https://www.mdpi.com/2226-4310/8/4/112

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